G. Alexopoulos, B. Meyers, R. Young, S. Campbell, D. Silbersweig et al., 'Vascular Depression' Hypothesis, Archives of General Psychiatry, vol.54, issue.10, p.915, 1997.
DOI : 10.1001/archpsyc.1997.01830220033006

J. Andersson, M. Jenkinson, S. Smith, J. Andersson, M. Jenkinson et al., Non-linear optimisation . FMRIB technical report TR07JA1 . fromwww.fmrib.ox.ac.uk/analysis Non-linear registration, aka Spatial normalisation . FMRIB technical report TR07JA2, 2007.

R. Buckner, Memory and Executive Function in Aging and AD, Neuron, vol.44, issue.1, pp.195-208, 2004.
DOI : 10.1016/j.neuron.2004.09.006

C. Chen, C. Chen, Y. Kuo, I. Chiang, C. Ko et al., Carotid intima-media thickness in late-onset major depressive disorder, International Journal of Geriatric Psychiatry, vol.160, issue.1, pp.36-42, 2006.
DOI : 10.1002/gps.1420

K. Christensen, G. Doblhammer, R. Rau, and J. Vaupel, Ageing populations: the challenges ahead, The Lancet, vol.374, issue.9696, pp.1196-1208, 2009.
DOI : 10.1016/S0140-6736(09)61460-4

E. Crimmins, . Agostino-'rb-sr, R. Vasan, M. Pencina, P. Wolf et al., Trends in the Health of the Elderly, Annual Review of Public Health, vol.25, issue.1, pp.79-98, 2004.
DOI : 10.1146/annurev.publhealth.25.102802.124401

D. Agostino-'rb, P. Wolf, A. Belanger, and W. Kannel, Stroke risk profile: adjustment for antihypertensive medication. The Framingham Study, Stroke, vol.25, issue.1, pp.40-43, 1994.
DOI : 10.1161/01.STR.25.1.40

R. Dalby, M. Chakravarty, J. Ahdidan, L. Sorensen, J. Frandsen et al., Localization of white-matter lesions and effect of vascular risk factors in late-onset major depression, Psychological Medicine, vol.28, issue.08, pp.1389-1399, 2010.
DOI : 10.1177/1073858405284255

V. Dotson, C. Davatzikos, M. Kraut, and S. Resnick, Depressive symptoms and brain volumes in older adults: a longitudinal magnetic resonance imaging study, Journal of Psychiatry & Neuroscience, vol.34, issue.5, pp.367-375, 2009.

M. First, R. Spitzer, M. Gibbon, and J. Williams, Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, Non-Patient Edition, 2007.

M. Folstein, S. Folstein, and P. Mchugh, ???Mini-mental state???, Journal of Psychiatric Research, vol.12, issue.3, pp.189-198, 1975.
DOI : 10.1016/0022-3956(75)90026-6

I. Hajjar, L. Quach, F. Yang, P. Chaves, A. Newman et al., Hypertension, White Matter Hyperintensities, and Concurrent Impairments in Mobility, Cognition, and Mood: The Cardiovascular Health Study, Circulation, vol.123, issue.8, pp.858-865, 2011.
DOI : 10.1161/CIRCULATIONAHA.110.978114

M. Hamilton, Development of a Rating Scale for Primary Depressive Illness, British Journal of Social and Clinical Psychology, vol.6, issue.4, pp.278-296, 1967.
DOI : 10.1111/j.2044-8260.1967.tb00530.x

L. Herrmann, M. Lemasurier, and K. Ebmeier, White matter hyperintensities in late life depression: a systematic review, Journal of Neurology, Neurosurgery & Psychiatry, vol.79, issue.6, pp.619-624, 2008.
DOI : 10.1136/jnnp.2007.124651

L. Herrmann, G. Goodwin, and K. Ebmeier, The cognitive neuropsychology of depression in the elderly, Psychological Medicine, vol.24, issue.12, pp.1693-1702, 2007.
DOI : 10.1159/000093745

M. Hoptman, F. Gunning-dixon, C. Murphy, B. Ardekani, J. Hrabe et al., Blood pressure and white matter integrity in geriatric depression, Journal of Affective Disorders, vol.115, issue.1-2, pp.171-176, 2009.
DOI : 10.1016/j.jad.2008.07.024

T. Jeerakathil, P. Wolf, A. Beiser, J. Massaro, S. Seshadri et al., Stroke Risk Profile Predicts White Matter Hyperintensity Volume: The Framingham Study, Stroke, vol.35, issue.8, 2004.
DOI : 10.1161/01.STR.0000135226.53499.85

D. Jones, The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: A Monte Carlo study, Magnetic Resonance in Medicine, vol.42, issue.4, pp.807-815, 2004.
DOI : 10.1002/mrm.20033

B. Mcgurn, J. Starr, J. Topfer, P. A. Whiteman, M. Lemmon et al., Pronunciation of irregular words is preserved in dementia, validating premorbid IQ estimation, Neurology, vol.62, issue.7, pp.1184-1186, 2004.
DOI : 10.1212/01.WNL.0000103169.80910.8B

M. Mckinnon, K. Yucel, A. Nazarov, and G. Macqueen, A meta-analysis examining clinical predictors of hippocampal volume in patients with major depressive disorder, Journal of Psychiatry & Neuroscience, vol.34, issue.1, pp.41-54, 2009.

E. Mioshi, K. Dawson, J. Mitchell, R. Arnold, and J. Hodges, The Addenbrooke's Cognitive Examination Revised (ACE-R): a brief cognitive test battery for dementia screening, International Journal of Geriatric Psychiatry, vol.6, issue.11, pp.1078-1085, 2006.
DOI : 10.1002/gps.1610

T. Nichols and A. Holmes, Nonparametric permutation tests for functional neuroimaging: A primer with examples, Human Brain Mapping, vol.4, issue.1, pp.1-25, 2002.
DOI : 10.1002/hbm.1058

D. Park and P. Reuter-lorenz, The Adaptive Brain: Aging and Neurocognitive Scaffolding, Annual Review of Psychology, vol.60, issue.1, pp.173-196, 2009.
DOI : 10.1146/annurev.psych.59.103006.093656

G. Roman, From UBOs to Binswanger's Disease: Impact of Magnetic Resonance Imaging on Vascular Dementia Research, Stroke, vol.27, issue.8, pp.1269-1273, 1996.
DOI : 10.1161/01.STR.27.8.1269

C. Sexton, C. Allan, K. Bradley, L. Herrmann, U. Kalu et al., Network Disruption in Late-Life Depression Examined with MultiModal Magnetic Resonance Imaging, 2011.

C. Sexton, C. Mackay, and K. Ebmeier, A Systematic Review of Diffusion Tensor Imaging Studies in Affective Disorders, Biological Psychiatry, vol.66, issue.9, pp.814-823, 2009.
DOI : 10.1016/j.biopsych.2009.05.024

Y. Sheline, C. Pieper, D. Barch, K. Welsh-bohmer, R. Mckinstry et al., Support for the Vascular Depression Hypothesis in Late-Life Depression, Note, p.1043, 2010.
DOI : 10.1001/archgenpsychiatry.2009.204

Y. Sheline, J. Price, S. Vaishnavi, M. Mintun, D. Barch et al., Regional White Matter Hyperintensity Burden in Automated Segmentation Distinguishes Late-Life Depressed Subjects From Comparison Subjects Matched for Vascular Risk Factors, American Journal of Psychiatry, vol.165, issue.4, pp.524-532, 2008.
DOI : 10.1176/appi.ajp.2007.07010175

J. Shimony, Y. Sheline, . Angelo-'g, A. Epstein, T. Benzinger et al., Diffuse Microstructural Abnormalities of Normal-Appearing White Matter in Late Life Depression: A Diffusion Tensor Imaging Study, Biological Psychiatry, vol.66, issue.3, pp.245-252, 2009.
DOI : 10.1016/j.biopsych.2009.02.032

P. Smith, J. Blumenthal, M. Babyak, P. Doraiswamy, A. Hinderliter et al., Intima-media thickness and age of first depressive episode, Biological Psychology, vol.80, issue.3, pp.361-364, 2009.
DOI : 10.1016/j.biopsycho.2008.11.001

P. Smith, J. Blumenthal, M. Babyak, L. Watkins, A. Hinderliter et al., Cerebrovascular Risk Factors and Cerebral Hyperintensities among Middle-Aged and Older Adults With Major Depression, The American Journal of Geriatric Psychiatry, vol.18, issue.9, pp.848-852, 2010.
DOI : 10.1097/JGP.0b013e3181dba0fa

S. Smith, Fast robust automated brain extraction, Human Brain Mapping, vol.20, issue.3, pp.143-155, 2002.
DOI : 10.1002/hbm.10062

S. Smith, M. Jenkinson, H. Johansen-berg, D. Rueckert, T. Nichols et al., Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data, NeuroImage, vol.31, issue.4, 2006.
DOI : 10.1016/j.neuroimage.2006.02.024

S. Smith, M. Jenkinson, M. Woolrich, C. Beckmann, T. Behrens et al., Advances in functional and structural MR image analysis and implementation as FSL, NeuroImage, vol.23, pp.208-219, 2004.
DOI : 10.1016/j.neuroimage.2004.07.051

S. Smith and T. Nichols, Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference, NeuroImage, vol.44, issue.1, 2009.
DOI : 10.1016/j.neuroimage.2008.03.061

A. Thomas, R. Kalaria, O. Brien, and . Jt, Depression and vascular disease: what is the relationship?, Journal of Affective Disorders, vol.79, issue.1-3, pp.79-80, 2004.
DOI : 10.1016/S0165-0327(02)00349-X

A. Thomas, O. Brien-'jt, S. Davis, C. Ballard, R. Barber et al., Ischemic Basis for Deep White Matter Hyperintensities in Major Depression, Archives of General Psychiatry, vol.59, issue.9, pp.785-792, 2002.
DOI : 10.1001/archpsyc.59.9.785